Professor Tayeb A.Denidni , Professor of INRS-EMT, Universite de Quebec, Canada

Using engineered electromagnetic materials, novel antenna designs with advanced features can be developed and used us an enabling technology to improve the performance of future wireless communication, radar and space systems at microwave and mm-wave bands. These approaches are based on using advanced artificial periodic electromagnetic structures, including electromagnetic band gap structures, frequency selective surfaces and meta-surfaces. The objective is to design and implement new compact, low profile, and low-cost antenna systems with high performances in terms of beamforming capability, high gain, and efficiency. In this talk, I will first give a brief introduction on the wireless communication systems, presenting their potentials, evolution, and challenges. Second, I will give an overview on periodic electromagnetic structures and their applications in advanced antenna designs. Third, to show the beamforming feature of these antennas, some examples of simulated and experimental results will be presented and discussed. Finally, concluding remarks will be given.

Biography :Professor Denidni received the M.Sc. and Ph.D. degrees in electrical engineering from Laval University, Quebec City, QC, Canada, in 1990 and 1994, respectively. From 1994 to 2000, he was a Professor with the Engineering Department, Université du Québec á Rimouski (UQAR), Rimouski, QC, Canada, where he founded the Telecommunications laboratory. Since 2000, he has been with the Institut National de la Recherche Scientifique (INRS), University of Quebec, Montreal, QC, Canada. He founded the RF Laboratory, INRS—Energie, Materiaux et Telecommunications (INRS-EMT), Montreal. He has extensive experience in antenna design. He served as a principal investigator for many research projects sponsored by NSERC, FCI, and numerous industries. His current research interests include reconfigurable antennas using electromagnetic bandgap and frequency-selective surface structures, dielectric resonator antennas, meta-material antennas, adaptive arrays, switched multi-beam antenna arrays, ultrawideband antennas, microwave, and development for wireless communications systems. Professor Denidni is an elected IEEE Fellow.

Ranwa Al Mallah , Assistant Professor of Cybersecurity at the Royal Military College of Canada

Artificial intelligence (AI) and machine learning (ML) techniques are increasingly deployed in cyber-security settings. At the same time, those techniques are susceptible to new attacks. To this end, this talk starts by presenting AI in cybersecurity from the basics to eventually shed light on advanced and adjacent topics of cybersecurity of AI. The topics include Basic ML for cybersecurity, adversarial AI, attacks (evasion, white/black box, poisoning attacks) and adversarial examples in security applications, defenses against adversarial AI, and adversarial AI. Specific applications of AI in cybersecurity are examined on traditional IT networks and on cyber-physical systems running on critical infrastructure.

Biography : Ranwa Al Mallah received her Ph.D. from Polytechnique Montréal, and she is currently an Assistant Professor of Cybersecurity at the Royal Military College of Canada. Dr. Al Mallah has published extensively in prestigious, peer-reviewed journals and collaborated with leading scientists on impactful research projects. Her expertise lies in the intersection of Artificial Intelligence (AI) and cybersecurity, focusing on both the application of AI in cybersecurity defenses and the security challenges within AI systems themselves.

Miodrag Bolić, Associate Professor University of Ottawa, Canada:

 Unmanned Aerial Vehicles (UAVs) are increasingly utilized, both professionally and recreationally. However, due to their widespread use, ensuring accurate and persistent surveillance is crucial for the safe integration of UAVs into shared airspace with other aircraft and to mitigate unauthorized flight operations. Intruder UAV detection relies on machine learning models for area surveillance, i.e., object detection, classification, target localization, depth and pose estimation, collision avoidance, and so on. Intruder UAV detection is currently based on different sensing modalities, including electromagnetic, optical, thermal and acoustic. In this presentation, we describe methods for UAV surveillance, especially focusing on radar, 5G and vision-based techniques and their fusion.

Biography :

Dr. Bolic’s research spans various disciplines, encompassing biomedical signal processing, instrumentation, computer architectures, UAV detection, and radio frequency identification (RFID) systems. Currently, Dr. Bolic is dedicated to addressing real-world challenges through signal processing and machine learning in both biomedical and automotive contexts.

In the realm of biomedical applications, Dr. Bolic collaborates closely with physicians and other medical professionals, working with patient data. He is involved in the development of wearable and contactless solutions using radars, as well as thermal, depth, and RGB cameras. In the automotive sector, his focus lies in tackling counter-drone and inspection issues related to UAVs, emphasizing the utilization of experimental field data. His methodology involves modeling and simulating problems to enhance understanding. Dr. Bolic is actively engaged in developing machine learning solutions for:

1. Quantifying uncertainty in estimation and classification
2. Addressing long-term time series with sparse labels
3. Tackling domain shift challenges in computer vision and time series problems
4. Performing sensor fusion with multiple sensors, including multiple cameras and radars.

Dr. Ahmad Hassan , of Polytechnique Montréal , Canada:

Biography : Ahmad Hassan (Member, IEEE) received the Ph.D. degree in electrical engineering from Polytechnique Montréal, Canada, in 2019. From 2019 to 2021, he was a Postdoctoral Fellow with the Polystim Neurotechnologies Laboratory in the Department of Electrical Engineering at Polytechnique Montréal, Canada. Then, from 2021 to 2022, he was a Postdoctoral Fellow with the Integrated Systems Laboratory in the Department of Electrical and Computer Engineering at the University of Toronto, Canada. He joined the electrical engineering department of Polytechnique Montréal as an assistant professor in 2023.
During his research, he contributed to various research and industrial projects and has authored more than 45 research works in international journals and symposiums. His research is oriented towards emerging technologies including integrated circuits for harsh environments and photonic computing. He was a recipient of FRQNT Postdoctoral research scholarship.

Pr. Ahmed Iyanda Sulyman, Embry-Riddle Aeronautical University
Prescott, Arizona USA:

This talk presents an overview of the CubeSat architecture developed at Embry-Riddle Aeronautical University (ERAU). I will discuss the GS hardware and software architectures, the OBC system onboard the CubeSat, and the communication protocols used for the exchange of telemetry data and control signals between the GS and the OBC.

Biography:  Sulyman Ahmed Iyanda Sulyman (SM’09) received the Ph.D. degree from the Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada, in 2006. He was a Teaching Fellow with Queen’s University from 2004 to 2006, a Post-Doctoral Fellow with the Royal Military College of Canada, Kingston, from 2007 to 2009, and an Assistant/Associate Professor with King Saud University, Riyadh, Saudi Arabia, from 2009 to 2016. He is currently a Full Professor with the Department of Computer, Electrical, and Software Engineering, College of Engineering, Embry-Riddle Aeronautical University at Prescott, Prescott, AZ, USA. His current research interests include wireless communications and networks, with most recent contributions in the areas of millimeter-wave 5G cellular technologies and the Internet of Things.

Dr. Ali Karime , Royal Military College of Canada  , Canada:

Technology is affecting everybody’s daily lives in different ways. My research focuses on taking advantage of the technological advancements to improve the quality of life of patients in particular, and of people in general. In my presentation, I will talk about my work in the domain of Internet of Things (IoT) and elaborate on how my research may assist individuals from different backgrounds in achieving their goals. I will be presenting my current work on IoT for E-health. In addition, I will present some of my past work in the field of Exergaming that aims to promote physical and learning activities to the young generation through computer and mobile games. Finally, I will discuss some my future research directions and list the goals which I am hoping to achieve.

Biography :Ali Karime received his BASc, MASc, and PhD in Electrical and Computer Engineering from the University of Ottawa in 2007, 2009 and 2014, respectively. He then worked for several years as a quality assurance consultant with the Government of Canada, while maintaining a part time teaching position at the University of Ottawa from 2014 until 2020. In July 2020, he joined the Royal Military College of Canada as an Assistant Professor at the Department of Electrical and Computer Engineering. His research interests include Internet of Things (IoT), embedded systems, and artificial intelligence.

Dr. Idir Mellal,University of Toronto, at the Krembil Brain Institute, Toronto, Canada:

Idir Mellal received his Ph.D. degree in Electrical Engineering from the University of Quebec in Outaouais, Gatineau, Canada, in 2018. He started his first Postdoctoral Fellowship (PDF) at the University of Ottawa in Canada in 2018. In March 2019, he started his second PDF at the University of Toronto, at the Krembil Brain Institute, Toronto, Canada. His primary interest is building an effective and robust neuromorphic system mimicking biological neurons for neurocomputing. His research area includes FPGA design and Hardware AI Accelerator systems. Idir Mellal has a long experience in Hardware Design and Digital Implementation with outstanding industrial experience.

Prof. Mohamed Latrach, ESEO Angers, France:

Due to their increasing deployment, battery costs, environmental impact and the challenge of longer battery life, IoT devices and their sensors need a more eco-balanced and maintenance-free power source. This alternative source is based on the recovery of surrounding energy, and is the only way to avoid tons of battery waste and to ensure unlimited system operation. A various forms of surrounding energy sources which can be harvested, like electromagnetic waves, solar, wind, acoustic, thermal and mechanical. This Talk aims to present a study on energy harvesting techniques as alternative and promising solutions to power the IoT sensor devices. The principle, benefits and challenges of self-powered sensors will be discussed and analyzed.

Biography : Mohamed LATRACH (IEEE Member and URSI-France Member) received the Ph.D. degree in electronics from the University of Limoges, Limoges, France, in 1990. He is Professor of microwave engineering at École Supérieure d’Électronique de l’Ouest (ESEO), Angers, France. He is member of RF-EMC research group, Angers and Research Associate at the IETR, University of Rennes 1.
His main research interests are in the area of design and analysis of various antenna types, metamaterials, hybrid and MMIC circuits, wireless sensors, RFID, IoT, wireless power transfer and energy harvesting.
Mohamed LATRACH has supervised several doctoral, postdoctoral and master/engineer students. He has many publications and book chapters in the RF and microwave fields. He also holds three patents.
He serves as a reviewer for various journals and congress. He has delivered numerous invited presentations and has participated in many projects.